Hi-
I'm wondering if anyone can help me with my code. I'm coming up dry
when I try to get a p-value from the following code. If I make a
histogram of my resampled distribution, I find the difference between
by groups to be significant. I've ranked the data since I have
outliers in one of my groups.
mange= c(35, 60, 81, 158, 89, 130, 90, 38, 119, 137, 52, 30,
27, 115, 123, 31, 124, 91)
healthy= c(46, 50, 30, 58, 32, 42, 42, 33, 19, 42, 30, 26, 38, 23, 16,
28, 42, 42, 33, 35, 51, 31, 39, 40 , 42, 38, 36, 39, 38)
l.mange<-length(mange)
l.healthy<-length(healthy)
exptdiff <- mean.mange - mean.healthy #the expected difference between
between the mean of the ranked groups
both.chemistry<-c(mange, healthy) #concatenate two vectors into one in
preparation for resampling the data
both.ranks<-rank(both.chemistry) #rank combined data in the case that
there are outlying values in the data or the dataset is small
reps=1000
z<-rep(NA,reps) # z will the the simulated storage value for the
resampling efforts
for(i in 1:reps){ #create the loop
x<- sample(both.ranks, length(both.ranks),replace=FALSE) #instructions
for how to resample where sample the entire combined data without
replacment
p.mange<-mean(x[(1:l.mange)]) #create a simulate mean value for the
resampled mange values
p.healthy<-mean(x[(l.mange+1):(l.mange+l.healthy)]) #create a
simulated mean value for the resampled healthy values
pdiff<- p.mange-p.healthy #the simulated difference between groups
z[i]<- pdiff #the stored list of simulated differences
}
p=mean(z>=exptdiff)*2 #2-tailed test multiply by two
p
hist(z, xlab="Resample Values", main="Distribution for Two-Group BUN Test")
confints=quantile(z, c(0.025,0.975))
abline(v=confints, col="blue") #draw a line for each cutoffs
abline(v=exptdiff, col="red")
Thanks!
L.Serieys
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